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Fault prediction based on information fusion and improved UGM(1,1) model

ZHAO Jian-zhong1, LI Hai-jun2, YE Wen2, DONG Qi1   

  1. 1. Graduate Students’ Brigade, Naval Aeronautical and Astronautical University, Yantai 264001, China; 
    2. Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Online:2013-10-25 Published:2010-01-03

Abstract:

In view of the problems of unequal date sampling time interval, the great difficulty of date sampling and the small date capacity in fault prediction, a prediction method based on information fusion and improved unequal interval grey model (IUGM) according to information fusion technical and grey prediction theory is poposed. Firstly, unequal interval grey model is built by nonlinear regression idea and optimized by initial value improved, residual error correction and metabolism. Then the degree of membership weighted method is put forward based on weighted thought so as to determine degree of membership value of models. Finally, the fault prediction model of special individuality is built on the basis of degree of membership value and IUGM(1,1) model. The results of simulating example validate the validity of the proposed method.

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